Molecular Property Prediction On Sider 1

评估指标

ROC-AUC

评测结果

各个模型在此基准测试上的表现结果

Paper TitleRepository
BioAct-Het91.11BioAct-Het: A Heterogeneous Siamese Neural Network for Bioactivity Prediction Using Novel Bioactivity Representatio-
Deep-CBN78.2Integrating convolutional layers and biformer network with forward-forward and backpropagation training-
MolXPT71.7MolXPT: Wrapping Molecules with Text for Generative Pre-training
IterRefLSTM70.40Low Data Drug Discovery with One-shot Learning-
ChemRL-GEM67.2ChemRL-GEM: Geometry Enhanced Molecular Representation Learning for Property Prediction-
N-GramRF66.8N-Gram Graph: Simple Unsupervised Representation for Graphs, with Applications to Molecules
Uni-Mol65.9Uni-Mol: A Universal 3D Molecular Representation Learning Framework-
N-GramXGB65.5N-Gram Graph: Simple Unsupervised Representation for Graphs, with Applications to Molecules
GROVER (large)65.4Self-Supervised Graph Transformer on Large-Scale Molecular Data
GROVER (base)64.8Self-Supervised Graph Transformer on Large-Scale Molecular Data
SPMM64.7Bidirectional Generation of Structure and Properties Through a Single Molecular Foundation Model
S-CGIB64.03±1.04Pre-training Graph Neural Networks on Molecules by Using Subgraph-Conditioned Graph Information Bottleneck-
GAL 120B63.2Galactica: A Large Language Model for Science
PretrainGNN62.7Strategies for Pre-training Graph Neural Networks
GAL 30B61.3Galactica: A Large Language Model for Science
D-MPNN57.0Analyzing Learned Molecular Representations for Property Prediction
GAL 125M55.9Galactica: A Large Language Model for Science
GAL 6.7B55.9Galactica: A Large Language Model for Science
GAL 1.3B54.0Galactica: A Large Language Model for Science
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